Prehospital Assaults Against Asian Americans, Native Hawaiians, and Pacific Islanders During COVID-19.

INTRODUCTION: Anti-Asian sentiment increased when the SARS-CoV-2 virus reached the United States in 2020. Trends in national assaults occurring during the COVID-19 pandemic in the Asian American, Native Hawaiian, and Pacific Islander (AANHPI) community were evaluated. METHODS: Patients treated for assaults by emergency medical services between January 2019 and December 2021 were extracted from ImageTrend Collaborate, a national database. Multivariable logistic regression models, adjusting for age, sex, and urbanicity, were used to compare assault rates overall and in the AANHPI population. RESULTS: There were 84,825 assaults (8.5% of injury incidents) in 2019; 96,314 (9.2%) in 2020; and 97,841 (8.4%) in 2021. Assaults against AANHPI increased from 870 (7.1 assaults per 100 injuries) to 987 (8.3) and 1150 (7.9) between 2019 and 2021, respectively. Compared to 2019, risk of assaults in 2020 in all races increased (OR 1.08; 1.07, 1.10) but decreased in 2021 (OR 0.97; 0.96, 0.98). However, among AANHPI, risk of assaults increased in both 2020 (OR 1.22; 1.10, 1.35) and 2021 (OR 1.13; 1.03, 1.25). Most AANHPI assault victims were between 25 and 34 y old (11.8% in 2019) with an increase in 2020 (15.6%) and 2021 (14.4%). Assaults against AANHPI with blunt and sharp objects increased annually from 2019 to 2021. CONCLUSIONS: Despite national decreases of assaults in 2021 to pre-COVID baseline, the rate of assaults treated by emergency medical services for the AANHPI population remained elevated. Further studies analyzing in-hospital assault trends will allow for better understanding and will quantify the impact the pandemic and surrounding social influences had on minorities across the United States.

EMS Responses for Pediatric Behavioral Health Emergencies in the United States: A 4-Year Descriptive Evaluation.

BACKGROUND: The occurrence of behavioral health emergencies (BHEs) in children is increasing in the United States, with patient presentations to Emergency Medical Services (EMS) behaving similarly. However, detailed evaluations of EMS encounters for pediatric BHEs at the national level have not been reported. METHODS: This was a secondary analysis of a national convenience sample of EMS electronic patient care records (ePCRs) collected from January 1, 2018 through December 31, 2021. Inclusion criteria were all EMS activations documented as 9-1-1 responses involving patients < 18 years of age with a primary or secondary provider impression of a BHE. Patient demographics, incident characteristics, and clinical variables including administration of sedation medications, use of physical restraint, and transport status were examined overall and by calendar year. RESULTS: A total of 1,079,406 pediatric EMS encounters were present in the dataset, of which 102,014 (9.5%) had behavioral health provider impressions. Just over one-half of BHEs occurred in females (56.2%), and 68.1% occurred in patients aged 14-17 years. Telecommunicators managing the 9-1-1 calls for these events reported non-BHE patient complaints in 34.7%. Patients were transported by EMS 68.9% of the time, while treatment and/or transport by EMS was refused in 12.5%. Prehospital clinicians administered sedation medications in 1.9% of encounters and applied physical restraints in 1.7%. Naloxone was administered for overdose rescue in 1.5% of encounters. CONCLUSION: Approximately one in ten pediatric EMS encounters occurring in the United States involve a BHE, and the majority of pediatric BHEs attended by EMS result in transport of the child. Use of sedation medications and physical restraints by prehospital clinicians in these events is rare. National EMS data from a variety of sources should continue to be examined to monitor trends in EMS encounters for BHEs in children.

Risk factors for injury among military working dogs deployed to Iraq.

There is limited literature concerning the types of injuries that military working dogs (MWDs) face while in a deployed theater of operations and associated risk factors. To summarize injuries and identify injury risk factors in MWDs during their first deployments to Iraq, demographic and medical data were collected for 794 MWDs from the U.S. Army, Air Force, Navy, and Marine Corps that deployed to Iraq between March 20, 2003 and December 31, 2007. Sixty-two percent (n = 490) had a medical encounter during deployment. Injuries were categorized as traumatic or musculoskeletal. MWD demographics, characteristics, and injury types were summarized. Injury risk factors were assessed using multivariable logistic regression. A majority of the population were German Shepherds (56 %), intact males (49 %), and dogs certified in both patrol and explosives detection (73 %). During their first deployment to Iraq, 20 % (n = 156) experienced an injury. Risk factors included breed, age, and occupational certification. Belgian Malinois and Labrador Retriever dogs had greater odds of injury compared to German Shepherds (p = 0.04 and p = 0.02) and the oldest MWDs had about a 50 % higher risk of injury compared to the youngest (p = 0.01), especially for musculoskeletal injuries. MWDs with Specialized Search certification were at increased injury risk (p = 0.02). Training, equipment, and supplies for veterinary service personnel, MWD handlers, and MWDs should be tailored with consideration of the injury risks of the MWD population. Further study is needed to investigate chronic injuries in military working dogs to better understand causation and prevention.

Evaluation of the US Army Special Forces Tactical Human Optimization, Rapid Rehabilitation, and Reconditioning Program.

BACKGROUND: We sought to assess the rehabilitation process, training, performance, and injury rates among those participating and not participating in the Tactical Human Optimization, Rapid Rehabilitation, and Reconditioning (THOR3) program and determine injury risk factors. METHODS: A survey inquiring about personal characteristics, injuries, physical performance, and THOR3 participation during the previous 12 months was administered to Army Special Operations Forces (SOF) Soldiers. Based on responses to physical training, Soldiers were categorized into three groups: a traditional physical training (TPT) group, a cross-training (CT) group, and a THOR3 group. To identify potential injury risk factors, risk ratios and 95% confidence intervals (95% CIs) were calculated. Backward- stepping multivariable logistic regression models were used to assess key factors associated with injury risk. RESULTS: The survey was completed by 328 male Soldiers. Most of the Soldiers (62%) who scheduled an appointment with the physical therapist were seen within 1 day. Self-reported injury rates for the TPT, CT, and THOR3 groups were 70%, 52%, and 48%, respectively. When controlling for personal characteristics, unit training, and fitness, the TPT group had a marginally higher risk of being injured than the THOR3 group (odds ratio [OR], 2.72; 95% CI, 0.86-8.59; p = .09). Soldiers who did not perform any unit resistance training (ORnone/90-160 min, 3.62; 95% CI, 1.05-12.53; p = .04) or the greatest amount of resistance training (OR>160 min/90-160 min, 3.44; 95% CI, 1.64-7.20; p < .01) were more likely to experience an injury than the moderate-resistance training group. CONCLUSION: THOR3 appears to offer human performance optimization/injury prevention advantages over other SOF human performance programs.

Risk Factors for Sprains and Strains Among Physically Active Young Men: A US Army Study.

This investigation aimed to identify risk factors for lower extremity sprain/strain injuries in physically active men. Lower extremity (LE) sprain/strain injuries are a significant source of morbidity among physically active populations. Data on and risk factors for injuries, including personal characteristics, and physical training and fitness were obtained from male Soldiers in an operational US Army division (N=6,865) by survey. Injury risks, risk ratios (RR), odds ratios (OR), and 95% confidence intervals (95% CI) were calculated. Multivariate analysis utilized logistic regression. Self-reported injury incidence for the prior 12 months was 43% (n=2,939), with 30% (n=878) of injuries attributed to LE sprains/strains. Lower extremity sprain/strain injuries were most commonly caused by falls, jumps, trips, or slips (49.4%), occurred while running (30.6%), and often resulted in limited duty profiles (64%). Higher risk of LE sprain/strain injury was independently associated with higher body mass index (ORoverweight/normal=1.2, 95% CI: 1.0-1.5), (ORobese/normal=1.4, 95% CI: 1.1-1.9), lower aerobic endurance (from 2-mile run time) (ORQuartile 2 (Q2)/Quartile 4 (Q4)=1.4, 95% CI: 1.0-1.8), (ORQuartile 1 (Q1)/Q4=1.6, 95% CI: 1.3-2.1), and lower core strength (sit-up repetitions) (ORQ1/Q4=1.4, 95% CI: 1.1-1.8). Lower risk of LE sprain/strain injury was associated with performing unit resistance training 3 or more times per week (OR3 times/none=0.5, 95% CI: 0.3-0.8). LE sprain/strain injuries contribute a significant portion of injuries among US Army Soldiers. Emphasis on aerobic fitness, core strength, and resistance training may help reduce the risk of LE sprain/strain injury among physically active men.

Sex and age differences in physical performance: A comparison of Army basic training and operational populations.

OBJECTIVES: To determine the age- and sex-specific differences of physical fitness performances and Body Mass Index (BMI) in basic training and the operational Army. DESIGN: Cross-sectional Study. METHODS: This secondary analysis utilizes retrospective surveys of U.S. Army Soldiers in Basic Combat Training (BCT) and operational units to compare physical performances between men and women as measured by the Army Physical Readiness Test (APFT). An ANOVA was used to compare mean differences in APFT results and BMI within sex-specific populations. A post hoc Tukey test identified specific mean differences. Adjusting for age, an ANCOVA was used to compare sex and occupation (infantry and non-infantry) differences in APFT results. RESULTS: Surveyed populations consisted of 2216 BCT Soldiers (1573 men and 643 women) and 5515 Operational Soldiers (4987 men and 528 women). Male and female operational Soldiers had greater muscular performance (79%-125% higher APFT push-ups, 66%-85% higher APFT sit-ups) and cardiorespiratory performance (22%-24% faster APFT 2-mile run times) than BCT Soldiers. Male BCT and operational Soldiers outperform their female counterparts on tests of muscular and cardiorespiratory endurance. Sex differences in physical performances attenuated among female Soldiers in operational units compared to BCT. Among male operational Soldiers, infantry Soldiers exhibited greater cardiorespiratory and muscular performance than non-infantry Soldiers. Higher BMI was associated with higher age groups, except for female BCT Soldiers. CONCLUSIONS: Gaps in cardiorespiratory and muscular performances between men and women should be addressed through targeted physical training programs that aim to minimize physiological differences.

Functional Movement Screen: Pain versus composite score and injury risk.

OBJECTIVES: The Functional Movement Screen (FMS™) has been used as a screening tool to determine musculoskeletal injury risk using composite scores based on movement quality and/or pain. However, no direct comparisons between movement quality and pain have been quantified. DESIGN: Retrospective injury data analysis. METHODS: Male Soldiers (n=2154, 25.0±1.3years; 26.2±.7kg/m2) completed the FMS (scored from 0 points (pain) to 3 points (no pain and perfect movement quality)) with injury data over the following six months. The FMS is seven movements. Injury data were collected six months after FMS completion. Sensitivity, specificity, receiver operator characteristics and positive and negative predictive values were calculated for pain occurrence and low (≤14 points) composite score. Risk, risk ratios (RR) and 95% confidence intervals were calculated for injury risk. RESULTS: Pain was associated with slightly higher injury risk (RR=1.62) than a composite score of ≤14 points (RR=1.58). When comparing injury risk between those who scored a 1, 2 or 3 on each individual movement, no differences were found (except deep squat). However, Soldiers who experienced pain on any movement had a greater injury risk than those who scored 3 points for that movement (p<0.05). A progressive increase in the relative risk occurred as the number of movements in which pain occurrence increased, so did injury risk (p<0.01). CONCLUSIONS: Pain occurrence may be a stronger indicator of injury risk than a low composite score and provides a simpler method of evaluating injury risk compared to the full FMS.

Associations of age, aerobic fitness, and body mass index with injury in an operational Army brigade.

OBJECTIVES: To investigate the effects of age, aerobic fitness, and body mass index (BMI) on injury risk in operational Army soldiers. DESIGN: Retrospective cohort study. METHODS: Male soldiers from an operational Army brigade were administered electronic surveys regarding personal characteristics, physical fitness, and injuries occurring over the last 12 months. Injury risks were stratified by age, 2-mile run time, and BMI. Analyses included descriptive incidence, a Mantel-Haenszel χ2 test to determine trends, a multivariable logistic regression to determine factors associated with injury, and a one-way analysis of variance (ANOVA). RESULTS: Forty-seventy percent of 1099 respondents reported at least one injury. A linear trend showed that as age, 2-mile run time, and BMI increased, so did injury risk (p<0.01). When controlling for BMI, the most significant independent injury risk factors were older age (odd ratio (OR) 30years-35years/≤24years=1.25, 95%CI: 1.08-2.32), (OR≥36years/≤24years=2.05, 95%CI: 1.36-3.10), and slow run times (OR≥15.9min/≤13.9min=1.91, 95%CI: 1.28-2.85). An ANOVA showed that both run times and BMI increased with age. CONCLUSIONS: The stratified analysis and the multivariable logistic regression suggested that older age and poor aerobic fitness are stronger predictors of injury than BMI.

Evaluating Injury Risk and Gender Performance on Health- and Skill-Related Fitness Assessments.

Grier, TL, Canham-Chervak, M, Bushman, TT, Anderson, MK, North, WJ, and Jones, BH. Evaluating injury risk and gender performance on health- and skill-related fitness assessments. J Strength Cond Res 31(4): 971-980, 2017-The purpose of this analysis was to investigate the association of injury risk and gender performance on health- and skill-related fitness assessments. A survey was used to collect personal characteristics and Army Physical Fitness Test scores (2-mile run, push-ups, and sit-ups). Within the same day, 9 physical fitness assessments were performed. Percent body fat was estimated using height, weight, age, and sex. All fitness assessment data were categorized into tertiles of high, moderate and low performance. To investigate potential injury risk predicted by fitness assessment performance, injury risk ratios, odds ratios (ORs), and 95% confidence intervals (CIs) were calculated using medical record data. A total of 3,264 soldiers completed surveys and physical fitness assessments. Tertiles of fitness performance with men and women combined showed that on an average, 14% of women and 70% of men were in the moderate- and high-performance groups. Among men, higher injury risk was independently associated with low performance on a 2-mile run (ORslow/fast = 1.51, 95% CI 1.18-1.94) and low performance on a weighted 300-yard shuttle run (ORslow/fast = 1.36, 95% CI 1.06-1.74). For women, a higher risk of injury was associated with low performance on the 2-mile run (ORslow/fast = 2.38, 95% CI 1.04-5.74). Therefore, out of the 13 fitness assessments, the 2-mile run and weighted 300-yard shuttle run can also (in addition to measuring performance) be utilized to identify soldiers or athletes who are at a higher risk of experiencing an injury.

Effect of Mandatory Unit and Individual Physical Training on Fitness in Military Men and Women.

PURPOSE: The purpose of this study was to look at the effect of additional individual physical training (PT) in addition to mandatory unit PT as well as other risk factors on physical fitness. DESIGN: A cross-sectional design. SETTING: This study was conducted on a US military installation. PARTICIPANTS: Participants were 6290 male and 558 female active duty US Army soldiers in 3 light infantry brigades. MEASURES: Participants completed self-administered questionnaires asking about individual characteristics, PT, and physical fitness. Cut points were established for soldiers scoring within the top 33% for each of the 3 Army Physical Fitness Test events (2-mile run, sit-ups, and push-ups) and top 50% in each of the tests combined for overall performance. ANALYSIS: Odds ratios and 95% confidence intervals from multivariate analyses were calculated. RESULTS: Variables impacting physical fitness performance of men and women included increased body mass index, leading unit PT sessions, and individual distance running mileage. Other variables impacting physical performance for men included increased age, smoking, and individual resistance training. CONCLUSION: Soldiers performing additional individual PT demonstrated a positive influence on fitness compared to unit PT participation alone. Increased age and being overweight/obese negatively influenced physical fitness. To enhance fitness performance through unit PT, running by ability groups and resistance training should be encouraged by leadership.

The Role of Gender and Physical Performance on Injuries: An Army Study.

INTRODUCTION: In basic combat training, women experience twice as many injuries as men; however, evidence at the operational Army level is limited. This study aims to investigate the association between gender and injury likelihood while controlling for certain confounding factors in the operational Army. METHODS: Data were analyzed in 2015 from a cross-sectional study utilizing data from a 2010-2011 survey of light infantry Army Soldiers. Gender, age, body fat, tobacco use, Army Physical Fitness Test (2-mile run, push-ups, and sit-ups), occupational physical demand, and injury data were obtained via paper survey. ORs and 95% CIs from a multivariable analysis were calculated. RESULTS: Surveys were completed by 4,384 male and 363 female Soldiers. Injury incidence was 42% for men and 53% for women. After adjusting for the aforementioned variables, injury likelihood was higher in Soldiers aged ≥27 years (OR [age 27-29/22-26 years]=1.26, 95% CI=1.07, 1.48; OR [age ≥30/22-26 years]=1.28, 95% CI=1.08, 1.51), Soldiers with body fat ≥23.38% (OR [body fat ≥23.38%/≤19.28%]=1.30, 95% CI=1.08, 1.57), and Soldiers with the slowest 2-mile run times (OR [≥15.68/≤14.13 minutes]=1.53, 95% CI=1.26, 1.85). Women were no more likely than men to sustain an injury. CONCLUSIONS: When accounting for age, body fat, physical performance, and occupational physical demand, there was no gender difference in the likelihood of injury among Soldiers. Although women, on average, have lower aerobic and muscular performance than men, results suggest men and women of similar physical performance experience similar injury likelihood.

Effects of Physical Training and Fitness on Running Injuries in Physically Active Young Men.

Grier, TL, Canham-Chervak, M, Anderson, MK, Bushman, TT, and Jones, BH. Effects of physical training and fitness on running injuries in physically active young men. J Strength Cond Res 31(1): 207-216, 2017-The purpose of this investigation was to determine the effects of physical training (PT) and fitness on risks for running-related injuries (RRIs) in physically active young men. Personal characteristics, PT, Army Physical Fitness Test scores, and injury data were obtained by survey. Army Physical Fitness Test variables (push-ups, sit-ups, and 2-mile run) were converted into quartiles (Q), where Q1 = lowest performance and Q4 = highest performance. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated using multivariate logistic regression. Over 4,000 (n = 4,236) soldiers were surveyed. Running injury incidence was 14%. A greater risk of an RRI was associated with older age (OR31+/<22 years = 1.62, 95% CI, 1.21-2.18), higher BMI ((Equation is included in full-text article.)), and total distance ran per week during unit PT (OR16.1+/1-5 miles = 1.66, 95% CI, 1.15-2.41). A lower risk of an RRI was associated with total distance run per week during personal PT (OR5.1-10/1-5 miles = 0.70, 95% CI, 0.53-0.91, OR10.1-16 +/1-5 miles = 0.58, 95% CI, 0.35-0.97, OR16.1+/1-5 miles = 0.54, 95% CI, 0.30-0.98), higher aerobic endurance as measured by 2-mile run performance (ORQ4/Q1 = 0.50, 95% CI, 0.35-0.72), and unit resistance training ≥3 times a week (OR≥3 times per week/none = 0.46, 95% CI, 0.29-0.73). Greater personal PT running mileage decreased injuries in this population suggesting that the increased protective effect of higher aerobic fitness outweighed the injurious effect of running more miles during personal PT. Countermeasures to prevent RRIs could entail enhancing aerobic endurance, providing opportunities for personal aerobic training, monitoring for excessive unit PT running mileage and encouraging unit resistance training ≥3 times per week.

The Functional Movement Screen and Injury Risk: Association and Predictive Value in Active Men.

BACKGROUND: The Functional Movement Screen (FMS) is a series of 7 tests used to assess the injury risk in active populations. PURPOSE: To determine the association of the FMS with the injury risk, assess predictive values, and identify optimal cut points using 3 injury types. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: Physically active male soldiers aged 18 to 57 years (N = 2476) completed the FMS. Demographic and fitness data were collected by survey. Medical record data for overuse injuries, traumatic injuries, and any injury 6 months after the FMS assessment were obtained. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated along with the receiver operating characteristic (ROC) to determine the area under the curve (AUC) and identify optimal cut points for the risk assessment. Risks, risk ratios (RRs), odds ratios (ORs), and 95% CIs were calculated to assess injury risks. RESULTS: Soldiers who scored ≤14 were at a greater risk for injuries compared with those who scored >14 using the composite score for overuse injuries (RR, 1.84; 95% CI, 1.63-2.09), traumatic injuries (RR, 1.26; 95% CI, 1.03-1.54), and any injury (RR, 1.60; 95% CI, 1.45-1.77). When controlling for other known injury risk factors, multivariate logistic regression analysis identified poor FMS performance (OR [score ≤14/19-21], 2.00; 95% CI, 1.42-2.81) as an independent risk factor for injuries. A cut point of ≤14 registered low measures of predictive value for all 3 injury types (sensitivity, 28%-37%; PPV, 19%-52%; AUC, 54%-61%). Shifting the injury risk cut point of ≤14 to the optimal cut points indicated by the ROC did not appreciably improve sensitivity or the PPV. CONCLUSION: Although poor FMS performance was associated with a higher risk of injuries, it displayed low sensitivity, PPV, and AUC. On the basis of these findings, the use of the FMS to screen for the injury risk is not recommended in this population because of the low predictive value and misclassification of the injury risk.

Validity of Self-Reported Physical Fitness and Body Mass Index in a Military Population.

Many epidemiological studies rely on valid physical fitness data. The purpose of this investigation was to assess the validity of self-reported Army Physical Fitness Test (APFT) data and determine whether men and women recall APFT performance differently. U.S. Army soldiers (N = 1,047) completed a survey, including questions on height, weight, and most recent APFT performance. Height, weight, and APFT performance were also obtained from unit records. The mean ± SDs for unit and self-reported push-up repetitions were 63.5 ± 13.1 and 66.3 ± 14.0 for men and 37.7 ± 12.8 and 40.2 ± 12.8 for women, respectively. The mean ± SD for unit- and self-reported sit-up repetitions were 66.3 ± 11.4 and 68.1 ± 12.1 for men and 64.2 ± 13.6 and 66.5 ± 12.9 for women, respectively. The mean ± SD unit- and self-reported 2-mile run times were 15.2 ± 1.8 and 14.9 ± 1.6 minutes for men, and 18.0 ± 2.9 and 17.4 ± 1.9 minutes for women, respectively. Unit- and self-reported body mass indices (BMIs) (calculated by height and weight) were 26.4 ± 3.4 and 26.3 ± 3.6 for men and 24.6 ± 2.8 and 24.2 ± 3.3 for women. Correlations between unit- and self-reported scores for push-ups, sit-ups, 2-mile run, height, weight, and BMI were 0.82, 0.78, 0.85, 0.87, 0.97, and 0.88 for men and 0.86, 0.84, 0.87, 0.78, 0.98, and 0.78 for women, respectively. On average, men and women slightly overreported performance on the APFT and overestimated height, resulting in underestimated BMI. There was no difference in recall ability between men and women (p > 0.05). The very good to excellent correlations (r = 0.78-0.98) between unit- and self-reported scores indicate that self-reported data are valid for capturing physical fitness performance in this population.

Pain on Functional Movement Screen Tests and Injury Risk.

The Functional Movement Screen (FMS) is a tool intended to evaluate limitations or asymmetries of movement to detect individuals at risk for exercise- and sports-related injury. The purpose was to determine the association and predictive value of specific FMS tests with injury risk in physically active men. Soldiers aged 18-57 years completed the FMS (n = 2,476). Demographic and fitness data were collected by survey. Medical record data for any, overuse, and traumatic injury 6 months after the assessment were obtained. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value were calculated along with receiver operator characteristics to determine area under the curve (AUC). Risks, risk ratios, odds ratios (ORs), and 95% confidence intervals were calculated to assess injury risks. Multivariate logistic regression identified that pain on 5 of the 7 tests was associated with greater risk for any injury (OR = 1.50-3.51): deep squat, hurdle step, in-line lunge, trunk stability push-up, and rotary stability. However, FMS registered low sensitivity, PPV, and AUC for all 7 tests for the 3 injury types (2-24% sensitivity, 16-74% PPV, and 50-58% AUC). Although the presence of pain was associated with a higher risk of injury on 5 tests, a low sensitivity, PPV, and AUC were displayed. Therefore, caution is advised when implementing the FMS as a screening tool in an Army or similarly active population as it could lead to prevention and treatment resources being directed toward individuals who are not at greater risk for injury.

Physical training, smoking, and injury during deployment: a comparison of men and women in the US Army.

PURPOSE: To investigate changes in physical training (PT), fitness, and injury during deployment and identify differences between men and women. METHODS: Data were collected on male and female US Army Soldiers through self-reported surveys completed before and after deployment to Afghanistan. Changes in physical training activities, physical fitness, injury incidence, BMI, and smoking status were analyzed. Descriptive statistics were used to compare before deployment and deployment results and differences between men and women. RESULTS: Surveys were completed by 727 men and 43 women. The percentage of Soldiers engaging in unit PT running of 5 miles or more per week decreased by almost half for men and women. The percentage of Soldiers doing personal PT running of 5 miles or more per week and engaged in resistance training 3 or more days per week more than doubled for men and women during deployment. Cardiorespiratory endurance for women improved by 50 seconds (P=.06) and for men declined by 29 seconds (P<.01), while muscular endurance increased by 0.6 repetitions (P<.01) during deployment. Injury rates for men decreased, on average, 36.2 to 19.0 injuries per 1,000 Soldiers per month (P=.01). Injury rates for women decreased on average from 42.6 to 14.0 injuries per 1,000 Soldiers per month (P=.02). During deployment, BMI did not change for men or women and smoking increased 19% for men (P<.01), but did not increase for women. CONCLUSION: Comparisons of physical training activities and health behavior among men and women before and during deployment suggests that increased resistance training could be recommended for women and smoking cessation for men. Given the potentially important role of personal PT in maintaining physical fitness in the deployment environment, future work should support provision of the necessary environment and equipment for Soldiers to perform personal PT effectively and safely on their own. Further, the physical training gaps between men and women should be addressed, with suggestions regarding where improvements can be made, especially for women interested in seeking combat positions with high physical demands.

The effects of cross-training on fitness and injury in women.

BACKGROUND: As combat arms occupations become available to women, adequate muscular strength and aerobic endurance will be essential for the completion of physically demanding job-related tasks. Therefore, in addition to US Army Physical Readiness Training, Soldiers will often engage in their own personal physical fitness training programs. PURPOSE: To evaluate fitness and injury outcomes for women participating in personal cross-training programs compared to women performing one mode of training or having no personal fitness program. METHODS: Demographics, physical training activities, physical fitness, and injuries were obtained from surveys administered to female Soldiers in an infantry division. Women were categorized into the following 4 groups based on their personal physical fitness program: cross-training (CT), running only (R), weight training only (WT), and no personal fitness program (NPF). An ANOVA was used to compare physical training, health behaviors, and physical fitness across groups. A χ² test was used to compare injury rates between fitness programs. Risk (%), risk ratios (RR) and 95% confidence intervals (95% CI) were used to determine injury risk. RESULTS: A total of 620 women completed the survey and indicated whether or not they had a personal fitness program (cross-training, n=260; running only, n=93; weight training only, n=86; no personal fitness program, n=181). Average age and body mass index was 26.2±5.8 years and 24.5±3.3 kg/m² respectively with no differences between the 4 fitness groups. The cross-training group had higher physical performance on the muscular endurance (push-ups and sit-ups) portion of the Army physical fitness test (APFT) when compared to the 3 other groups (CT 42 push-ups vs (R 38, WT 35, NPF 36)); (CT 68 sit-ups vs (R 63, WT 62, NPF 62)). For the aerobic endurance (2-mile run) portion of the APFT, the cross-training group had higher performance when compared to those with no personal fitness program (CT 17.4 minutes vs NPF 18.5 minutes). Overall, 53% of female Soldiers sustained an injury over a 12-month period. All injury rates and lower extremity injury rates among women with a cross-training personal fitness program were not different from the other personal fitness programs. Those performing cross-training were 2.6 and 2.1 times more likely to experience a running related injury when compared to those in the weight training and no personal fitness group, respectively. On the other hand, women performing cross-training were 65% less likely to experience a lifting/moving heavy objects related injury when compared to the weight training only group. CONCLUSIONS: Women who participated in a cross-training program for personal physical fitness training had higher muscular endurance compared to the other fitness groups and higher aerobic endurance when compared to the no personal fitness group. There were no differences for all injuries and lower body injuries between cross-training and other fitness programs. Cross-training may be the best option for improving physical fitness when compared to just one mode of fitness training.

Risk factors associated with higher body fat in US Army female soldiers.

UNLABELLED: Increased body fat among US Soldiers is a continuing challenge that contributes to increased health risks and decreased combat readiness. Factors contributing to higher body fat among US Army female Soldiers have been minimally investigated. PURPOSE: To investigate the risk factors associated with exceeding US Army body fat standards among active duty women in a light infantry brigade. Investigated risk factors include personal characteristics, physical training, physical fitness, and injury history. METHODS: Data were obtained by survey from women in 3 US Army infantry brigades. Body fat percentage was calculated, and the women were categorized as either meeting or exceeding the maximum Army body fat standard of 30% for ages 17-20, 32% for ages 21-27, 34% for ages 28-39, and 36% for age 40 years or more. Army Physical Fitness Test (APFT) results were converted into tertiles (T), where T1=lowest 1/3 of performance and T3=highest 1/3 of performance. Odds ratios (OR) and 95% confidence intervals (CI) were calculated from a multivariate analysis assessing risk associated with exceeding the Army body fat standards. RESULTS: Among the women surveyed (n=629), 22% exceeded Army body fat standards. Higher risk of being above the Army standard was associated with older age (≥29 years / ≤23 years) (OR=47, 95% CI, 1.24-4.92), and poor aerobic fitness (APFT 2-mile run) (T1/T3) OR=6.11, 95% CI, 2.62-14.24), (T1/T2) OR=2.66, 95% CI, 1.12-6.33). A marginal association was found for poor muscular strength (APFT sit-ups) (T1/T3). CONCLUSION: The results suggest that women who are older, and/or have poor aerobic fitness are more likely to exceed the maximum Army body fat standards.